Overview
AWS Data Architect
Greetings from TCS!!!
TCS has been a great pioneer in feeding the fire of Techies like you. We are a global leader in the technology arena and there’s nothing that can stop us from growing together.
Your role is of key importance, as it lays down the foundation for the entire project.
Make sure you have a valid EP number before the interview. To create an EP Number, please visit https://ibegin.tcs.com/iBegin/register
Kindly complete the registration if you have not done it yet.
Role: AWS Data Architect
Experience: 8+ years
Location: Pan India
Required Technical Skill Set
AWS Data Architect with strong experience in Designing and Implementing Data Lake, Data Warehouse and Data ingestion and processing pipeline using various AWS services. Expertise in building high-performing, scalable, enterprise-grade Data Lake/ Data Warehouse
Must-Have
- Design & Implement ETL/data pipeline and Data Lake/ Datawarehouse in AWS
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS data and analytics services/technologies
- Extensive hands-on experience implementing data ingestion and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, Lake Formation, DMS, Kinesis, Kafka, Nifi, CDC processing, Redshift, Snowflake, RDS, Aurora, DynamoDB, CloudTrail, CloudWatch, Docker, Lambda, PySpark, Glue, API GW, etc.
- Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, Stream Sets, Attunity, Golden Gate AWS EMR , Map Reduce, Hadoop, Hive, HBase, Cassandra, PySpark, Flume, Hive, Impala, etc.
- Design and Implement analytics solution that utilize the ETL/data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
- Create data tools for analytics and data scientist team members that assist them in building and optimizing products
Nice-to-have:
- IoT/event-driven/microservices in the cloud- Experience with private and public cloud architectures
- Certified AWS Solutions Architect - Associate
- Any Professional/Specialty AWS certification
- Cloud native development and deployment in prod
- Data Analysis, maintenance, and support experience in cloud infra
- Data migration and multi-region replication experience
- Strong concept of Data Lakehouse and Data Mesh architecture
Thanks & Regards
Shubhangi